历史文章列表
网站https://www.arxivdaily.com/
注：含中英文摘要速递见公众号【arXiv每日学术速递】,涵盖CS|物理|数学|经济|统计|金融|生物|电气等领域。

cs.AI人工智能，共计57篇

【1】 Human-to-Robot Imitation in the Wild
标题： 人对机器人的野外模仿
链接：https://arxiv.org/abs/2207.09450
作者：Shikhar Bahl,Abhinav Gupta,Deepak Pathak
机构：Carnegie Mellon University
备注：Published at RSS 2022. Demos at this https URL

【2】 ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model
标题： 造型师：一种递归的文本约束三维形状生成模型
链接：https://arxiv.org/abs/2207.09446
作者：Rao Fu,Xiao Zhan,Yiwen Chen,Daniel Ritchie,Srinath Sridhar
机构：Brown University

【3】 SphereFed: Hyperspherical Federated Learning
标题： 超球面联合学习
链接：https://arxiv.org/abs/2207.09413
作者：Xin Dong,Sai Qian Zhang,Ang Li,H. T. Kung
机构： Harvard University, UT Dallas
备注：European Conference on Computer Vision 2022

【4】 Bounding generalization error with input compression: An empirical study with infinite-width networks
标题： 输入压缩的边界泛化误差：无限宽网络的实证研究
链接：https://arxiv.org/abs/2207.09408
作者：Angus Galloway,Anna Golubeva,Mahmoud Salem,Mihai Nica,Yani Ioannou,Graham W. Taylor
机构：W. Taylor, School of Engineering, University of Guelph, ON, Canada, Department of Mathematics and Statistics, University of Guelph, ON, Canada, Vector Institute for Artificial Intelligence, ON, Canada
备注：12 pages main content, 26 pages total

【5】 Bayesian Generational Population-Based Training
标题： 基于贝叶斯生成种群的训练
链接：https://arxiv.org/abs/2207.09405
作者：Xingchen Wan,Cong Lu,Jack Parker-Holder,Philip J. Ball,Vu Nguyen,Binxin Ru,Michael A. Osborne
机构：Machine Learning Research Group, University of Oxford, Oxford, UK, Amazon, Adelaide, Australia
备注：AutoML Conference 2022. 10 pages, 4 figure, 3 tables (28 pages, 10 figures, 7 tables including references and appendices)

【6】 Mimetic Models: Ethical Implications of AI that Acts Like You
标题： 模拟模型：行为像你的人工智能的伦理含义
链接：https://arxiv.org/abs/2207.09394
作者：Reid McIlroy-Young,Jon Kleinberg,Siddhartha Sen,Solon Barocas,Ashton Anderson
机构：Department of Computer Science, University of Toronto, Toronto, Ontario, Canada, Ithica, New York, USA, Microsoft Research, New York City, New York, USA, & Cornell University
备注：In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES'22), August 1-3, 2022, Oxford, United Kingdom

【7】 Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems
标题： 替代事实解释——不相关性对解释人工智能系统的相关性
链接：https://arxiv.org/abs/2207.09374
作者：Silvan Mertes,Christina Karle,Tobias Huber,Katharina Weitz,Ruben Schlagowski,Elisabeth André
机构：Chair for Human-Centered Artificial Intelligence, Augsburg University
备注：Accepted at IJCAI 2022 Workshop on XAI

【8】 On Decentralizing Federated Reinforcement Learning in Multi-Robot Scenarios
标题： 多机器人环境下的分散联邦强化学习研究
链接：https://arxiv.org/abs/2207.09372
作者：Jayprakash S. Nair,Divya D. Kulkarni,Ajitem Joshi,Sruthy Suresh
机构：Dept. of Computer Science and Engg., Federal Institute of Science and Technology, Angamaly, India, Indian Institute of Technology Guwahati, Guwahati, India
备注：8 Pages

【9】 Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
标题： 除了传输位：上下文、语义和面向任务的通信
链接：https://arxiv.org/abs/2207.09353
作者：Deniz Gunduz,Zhijin Qin,Inaki Estella Aguerri,Harpreet S. Dhillon,Zhaohui Yang,Aylin Yener,Kai Kit Wong,Chan-Byoung Chae
备注：28 pages, 14 figures

【10】 Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance
标题： 对比学习中的不确定性：论下游绩效的可预测性
链接：https://arxiv.org/abs/2207.09336
作者：Shervin Ardeshir,Navid Azizan
机构：Netflix, Massachusetts Institute of Technology

【11】 Few-Shot Teamwork
标题： Few-Shot的团队合作
链接：https://arxiv.org/abs/2207.09300
作者：Elliot Fosong,Arrasy Rahman,Ignacio Carlucho,Stefano V. Albrecht
机构：School of Informatics, University of Edinburgh
备注：IJCAI Workshop on Ad Hoc Teamwork, 2022

【12】 Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning
标题： Magpie：基于深度强化学习的分布式文件系统静态参数自动调整
链接：https://arxiv.org/abs/2207.09298
作者：Houkun Zhu,Dominik Scheinert,Lauritz Thamsen,Kordian Gontarska,Odej Kao
机构：Technische Universit¨at Berlin, Berlin, Germany, University of Glascow, Glasgow, United Kingdom, HPI, University of Potsdam, Potsdam, Germany
备注：Accepted at The IEEE International Conference on Cloud Engineering (IC2E) conference 2022

【13】 Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning
标题： 高效稳定的多步稀疏奖励强化学习的抽象证明与自适应探索
链接：https://arxiv.org/abs/2207.09243
作者：Xintong Yang,Ze Ji,Jing Wu,Yu-kun Lai
机构：School of Engineering, Cardiff University, Cardiff, UK, School of Computer Science and Informatics
备注：Accepted by The 27th IEEE International Conference on Automation and Computing (ICAC2022)

【14】 Formal Algorithms for Transformers
标题： Transformers的形式化算法
链接：https://arxiv.org/abs/2207.09238
作者：Mary Phuong,Marcus Hutter
机构：DeepMind
备注：16 pages, 15 algorithms

【15】 Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification
标题： 基于半监督预测聚类树的（层次）多标签分类
链接：https://arxiv.org/abs/2207.09237
作者：Jurica Levati,Michelangelo Ceci,Dragi Kocev,Sao Deroski
机构：Joˇzef Stefan Institute, Ljubljana, Slovenia, Joˇzef Stefan International Postgraduate School, Ljubljana, Slovenia, Department of Computer Science, University of Bari, Italy

【16】 Similarity of Pre-trained and Fine-tuned Representations
标题： 预训练和微调表示的相似性
链接：https://arxiv.org/abs/2207.09225
作者：Thomas Goerttler,Klaus Obermayer
备注：Workshop of Updatable Machine Learning at ICML 2022

【17】 FLDetector: Detecting Malicious Clients in Model Poisoning Attacks to Federated Learning
标题： FLDetector：检测对联邦学习的模型中毒攻击中的恶意客户端
链接：https://arxiv.org/abs/2207.09209
作者：Zaixi Zhang,Xiaoyu Cao,Jinayuan Jia,Neil Zhenqiang Gong
机构：University of Science and Technology of China, Duke University, Jinyuan Jia
备注：Accepted by KDD 2022 (Research Track)

【18】 NDF: Neural Deformable Fields for Dynamic Human Modelling
标题： NDF：用于动态人体建模的神经变形场
链接：https://arxiv.org/abs/2207.09193
作者：Ruiqi Zhang,Jie Chen
机构：, Department of Computer Science, Hong Kong Baptist University
备注：16 pages, 7 figures. Accepted by ECCV 2022

【19】 Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space
标题： 基于因子分析潜在空间的多视图分层变分自动编码器
链接：https://arxiv.org/abs/2207.09185
作者：Alejandro Guerrero-López,Carlos Sevilla-Salcedo,Vanessa Gómez-Verdejo,Pablo M. Olmos
机构：Department of Signal Processing and Communications, Universidad Carlos III de Madrid, Leganés, Spain, Instituto de Investigación Sanitaria Gregorio Maraón, Madrid, Spain, Department of Computer Science, Aalto University, Espoo, Finland
备注：20 pages main work, 2 pages supplementary, 14 figures

【20】 Benchmarking Transformers-based models on French Spoken Language Understanding tasks
标题： 基于Transformers器的法语口语理解任务基准测试模型
链接：https://arxiv.org/abs/2207.09152
作者：Oralie Cattan,Sahar Ghannay,Christophe Servan,Sophie Rosset
机构：Universite Paris-Saclay, CNRS, LISN, Orsay, France, QWANT, boulevard Haussmann, Paris, France
备注：Accepted paper at INTERSPEECH 2022

【21】 On the Usability of Transformers-based models for a French Question-Answering task
标题： 基于Transformers器的法语问答模型的可用性研究
链接：https://arxiv.org/abs/2207.09150
作者：Oralie Cattan,Christophe Servan,Sophie Rosset
机构：QWANT, rue de Villiers, Neuilly-sur-Seine, France, Universite Paris-Saclay, CNRS, LISN, Orsay, France
备注：French compact model paper: FrALBERT, Accepted to RANLP 2021

【22】 ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild
标题： 微粒SfM：利用密集点轨迹实现野外运动摄像机定位
链接：https://arxiv.org/abs/2207.09137
作者：Wang Zhao,Shaohui Liu,Hengkai Guo,Wenping Wang,Yong-Jin Liu
机构：Tsinghua University ,ETH Zurich ,ByteDance Inc. ,Texas A&M University
备注：ECCV 2022. Project page: this http URL

【23】 MONet: Multi-scale Overlap Network for Duplication Detection in Biomedical Images
标题： MONet：一种用于生物医学图像重复检测的多尺度重叠网络
链接：https://arxiv.org/abs/2207.09107
作者：Ekraam Sabir,Soumyaroop Nandi,Wael AbdAlmageed,Prem Natarajan
机构：USC Information Sciences Institute, Marina del Rey, CA, USA, Department of Electrical and Computer Engineering, USC, Los Angeles, USA
备注：To appear at ICIP 2022

【24】 Explainable Human-in-the-loop Dynamic Data-Driven Digital Twins
标题： 可解释的人在环动态数据驱动的数字孪生
链接：https://arxiv.org/abs/2207.09106
作者：Nan Zhang,Rami Bahsoon,Nikos Tziritas,Georgios Theodoropoulos
机构：Theodoropoulos,, School of Computer Science, University of Birmingham, Birmingham, United, Kingdom, Department of Computer Science and Engineering, Southern University of Science, and Technology, Shenzhen, China
备注：10 pages, 1 figure, submitted to the 4th International Conference on InfoSymbiotics/Dynamic Data Driven Applications Systems (DDDAS2022)

【25】 Actor-Critic based Improper Reinforcement Learning
标题： 基于行动者—批评者的不当强化学习
链接：https://arxiv.org/abs/2207.09090
作者：Mohammadi Zaki,Avinash Mohan,Aditya Gopalan,Shie Mannor
备注：arXiv admin note: substantial text overlap with arXiv:2102.08201

【26】 Can You Fool AI by Doing a 180? $\unicode{x2013}$ A Case Study on Authorship Analysis of Texts by Arata Osada
标题： 做180 °能骗过人工智能吗？$\unicode{x2013}$长田荒田文本的作者身份分析案例研究
链接：https://arxiv.org/abs/2207.09085
作者：Jagna Nieuwazny,Karol Nowakowski,Michal Ptaszynski,Fumito Masui
机构：Tohoku University of Community Service and Science,-,-, Iimoriyama, Sakata, -, Yamagata, Japan., Kitami Institute of Technology, Koencho , Kitami,-, Hokkaido, Japan.
备注：None

【27】 Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
标题： 基于变分因果推理的广义目标条件强化学习
链接：https://arxiv.org/abs/2207.09081
作者：Wenhao Ding,Haohong Lin,Bo Li,Ding Zhao
机构：Carnegie Mellon University, University of Illinois Urbana-Champaign
备注：28 pages, 5 figures, under review

【28】 ILASR: Privacy-Preserving Incremental Learning for AutomaticSpeech Recognition at Production Scale
标题： ILASR：面向生产规模自动语音识别的隐私保护增量学习算法
链接：https://arxiv.org/abs/2207.09078
作者：Gopinath Chennupati,Milind Rao,Gurpreet Chadha,Aaron Eakin,Anirudh Raju,Gautam Tiwari,Anit Kumar Sahu,Ariya Rastrow,Jasha Droppo,Andy Oberlin,Buddha Nandanoor,Prahalad Venkataramanan,Zheng Wu,Pankaj Sitpure
机构：Amazon Alexa, USA
备注：9 pages

【29】 Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks
标题： 稀疏奖励任务元强化学习的学习行为翻译器
链接：https://arxiv.org/abs/2207.09071
作者：Yijie Guo,Qiucheng Wu,Honglak Lee
机构：University of Michigan,LG AI Research

【30】 PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search
标题： PiC：一个用于短语理解和语义搜索的短语上下文数据集
链接：https://arxiv.org/abs/2207.09068
作者：Thang M. Pham,Seunghyun Yoon,Trung Bui,Anh Nguyen
机构：Auburn University, §Adobe Research
备注：25 pages, 12 figures

【31】 Time Is MattEr: Temporal Self-supervision for Video Transformers
标题： 时间是MattEr：视频Transformers的时间自监控
链接：https://arxiv.org/abs/2207.09067
作者：Sukmin Yun,Jaehyung Kim,Dongyoon Han,Hwanjun Song,Jung-Woo Ha,Jinwoo Shin
机构： 1School of Electrical Engineering, South Korea 3Graduate School of AI
备注：Accepted to ICML 2022. Code is available at this https URL

【32】 A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision
标题： A-SFS：基于多任务自监督的半监督特征选择算法
链接：https://arxiv.org/abs/2207.09061
作者：Zhifeng Qiu,Wanxin Zeng,Dahua Liao,Ning Gui
机构：School of Automation, Central South University,Changsha, Hunan, China, School of Computer Science, Central South University,Changsha, Hunan, China
备注：18 pages, 7 figures, accepted by knowledge-based systems

【33】 An Intelligent Trust Cloud Management Method for Secure Clustering in 5G enabled Internet of Medical Things
标题： 面向5G医疗物联网安全分簇的智能信任云管理方法
链接：https://arxiv.org/abs/2207.09057
作者：Liu Yang,Keping Yu,Simon X. Yang,Chinmay Chakraborty,Yinzhi Lu,Tan Guo
机构：and Information Engineering, Chongqing University of Posts and, Waseda, Shinjuku, Tokyo, Japan, (e-mail:, Laboratory, School of Engineering, University of Guelph, Guelph, ON, IoMT can provide comprehensive healthcare monitoring

【34】 HICF: Hyperbolic Informative Collaborative Filtering
标题： HICF：双曲信息协同过滤
链接：https://arxiv.org/abs/2207.09051
作者：Menglin Yang,Zhihao Li,Min Zhou,Jiahong Liu,Irwin King
机构：The Chinese University of Hong Kong, Hong Kong SAR, China, Harbin Institute of Technology, Shenzhen, China, Huawei Technologies Co.,Ltd
备注：Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22)

【35】 Don't Forget to Buy Milk: Contextually Aware Grocery Reminder Household Robot
标题： 别忘了买牛奶：具有上下文感知的杂货提醒家用机器人
链接：https://arxiv.org/abs/2207.09050
作者：Ali Ayub,Chrystopher L. Nehaniv,Kerstin Dautenhahn
机构： 1Department of Electrical and Computer Engineering, University ofWaterloo
备注：Accepted at IEEE ICDL 2022

【36】 RepBNN: towards a precise Binary Neural Network with Enhanced Feature Map via Repeating
标题： RepBNN：通过重复增强特征映射的精确二进制神经网络
链接：https://arxiv.org/abs/2207.09049
作者：Xulong Shi,Zhi Qi,Jiaxuan Cai,Keqi Fu,Yaru Zhao,Zan Li,Xuanyu Liu,Hao Liu
机构：National ASIC System Engineering Research Center, Southeast University, China
备注：This paper has absolutely nothing to do with repvgg, rep means repeating

【37】 Decorrelative Network Architecture for Robust Electrocardiogram Classification
标题： 一种用于心电图稳健分类的去相关网络结构
链接：https://arxiv.org/abs/2207.09031
作者：Christopher Wiedeman,Ge Wang
机构：Department of Electrical and Computer Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA, Department of Biomedical Engineering
备注：12 pages, 6 figures

【38】 Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments
标题： 多层智能环境中多用户个性化环境辅助生活的室内定位
链接：https://arxiv.org/abs/2207.09025
作者：Nirmalya Thakur,Chia Y. Han
机构：Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH ,-

【39】 Selection Bias Induced Spurious Correlations in Large Language Models
标题： 大规模语言模型中选择偏差导致的虚假相关
链接：https://arxiv.org/abs/2207.08982
作者：Emily McMilin
备注：8 pages, 5 figures, Published at the ICML 2022 Workshop on Spurious Correlations, Invariance, and Stability

【40】 Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
标题： 深度张量分解中多项式增长的隐式正则化
链接：https://arxiv.org/abs/2207.08942
作者：Kais Hariz,Hachem Kadri,Stéphane Ayache,Mahzer Moakher,Thierry Artières
机构：Attempts of studying implicit regularization in deep learn- 1Aix Marsille University, National Engineering School of Tunis, University ofTunis El Manar
备注：None

【41】 A Community-Aware Framework for Social Influence Maximization
标题： 一个社区感知的社会影响力最大化框架
链接：https://arxiv.org/abs/2207.08937
作者：Abhishek Kumar Umrawal,Vaneet Aggarwal
机构： Aggarwal is with the School of Industrial Engineering, and ElmoreFamily School of Electrical and Computer Engineering, Purdue University
备注：10 pages, 2 figures and 4 tables

【42】 A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games
标题： 基于深度强化学习的两人Atari博弈不可利用策略研究
链接：https://arxiv.org/abs/2207.08894
作者：Zihan Ding,Dijia Su,Qinghua Liu,Chi Jin
机构：Princeton University

【43】 Deep Sequence Models for Text Classification Tasks
标题： 面向文本分类任务的深度序列模型
链接：https://arxiv.org/abs/2207.08880
作者：Saheed Salahudeen Abdullahi,Sun Yiming,Shamsuddeen Hassan Muhammad,Abdulrasheed Mustapha,Ahmad Muhammad Aminu,Abdulkadir Abdullahi,Musa Bello,Saminu Mohammad Aliyu
机构：Department of Computer Science, Kaduna State University, Kaduna, Nigeria, -,-,-, Changchun University of Science, and Technology, Changchun, China, Shamsuddeen Hassan, Muhammad, University of Porto, Porto, Portugal, Maharishi University of, Management, Fairfield, United States
备注：None

【44】 Optimizing Indoor Navigation Policies For Spatial Distancing
标题： 针对空间距离优化室内导航策略
链接：https://arxiv.org/abs/2207.08860
作者：Xun Zhang,Mathew Schwartz,Muhammad Usman,Petros Faloutsos,Mubbasir Kapadia
机构：Rutgers University, New Brunswick, New Jersey, USA, New Jersey Institute of Technology, Newark, New Jersey, USA, York University, Toronto, Ontario, Canada, UHN Toronto Rehabilitation Institute, Navigation, Policies, Behavior Tree, Shopping, Queuing, Picking Items, Uni-directional
备注：9 pages, 8 figures, conference-- simulation in architecture and urban design, in-cooperation with ACM SIGSIM

【45】 RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers
标题： RESAM：应用于无人机飞行控制器的深度学习异常模型的需求启发和规范
链接：https://arxiv.org/abs/2207.08857
作者：Md Nafee Al Islam,Yihong Ma,Pedro Alarcon Granadeno,Nitesh Chawla,Jane Cleland-Huang
机构：Dept. of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA

【46】 Contrastive Environmental Sound Representation Learning
标题： 对比环境声音表征学习
链接：https://arxiv.org/abs/2207.08825
作者：Peter Ochieng,Dennis Kaburu
机构：Department of Computer Science and Technology, University of Cambridge, Department of Information Technology, Jomo Kenyatta University of Agriculture and Technology

【47】 Using attention methods to predict judicial outcomes
标题： 运用注意力方法预测司法结果
链接：https://arxiv.org/abs/2207.08823
作者：Vithor Gomes Ferreira Bertalan,Evandro Eduardo Seron Ruiz
机构：Received: date Accepted: date

【48】 The Multiple Subnetwork Hypothesis: Enabling Multidomain Learning by Isolating Task-Specific Subnetworks in Feedforward Neural Networks
标题： 多重子网络假设：通过隔离前馈神经网络中的特定任务子网络实现多域学习
链接：https://arxiv.org/abs/2207.08821
作者：Jacob Renn,Ian Sotnek,Benjamin Harvey,Brian Caffo
机构：AI Squared, Inc., United States, Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA

【49】 Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime
标题： 利用超低位量化和运行时加速Arm CPU上的深度学习模型推理
链接：https://arxiv.org/abs/2207.08820
作者：Saad Ashfaq,MohammadHossein AskariHemmat,Sudhakar Sah,Ehsan Saboori,Olivier Mastropietro,Alexander Hoffman
机构：Deeplite Inc., Montreal, Canada

【50】 SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT
标题： SeLoC-ML：面向工业物联网中机器学习应用的语义低代码工程
链接：https://arxiv.org/abs/2207.08818
作者：Haoyu Ren,Kirill Dorofeev,Darko Anicic,Youssef Hammad,Roland Eckl,Thomas A. Runkler
机构： Siemens AG, Otto-Hahn-Ring , Munich, Germany, Siemens AG, Siemenspromenade , Erlangen, Germany, Technical University of Munich, Arcisstr. , Munich, Germany
备注：Accepted by the 21st International Semantic Web Conference (ISWC2022)

【51】 Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition
标题： 发现数据中的行为倾向以提高人类活动识别
链接：https://arxiv.org/abs/2207.08816
作者：Maximilian Popko,Sebastian Bader,Stefan Lüdtke,Thomas Kirste
机构：University of Rostock, Germany, University of Mannheim, Germany
备注：Submitted to iWOAR 2022 - 7th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence

【52】 Why do tree-based models still outperform deep learning on tabular data?
标题： 为什么基于树的模型在表格数据上的表现依旧优于深度学习？
链接：https://arxiv.org/abs/2207.08815
作者：Léo Grinsztajn,Edouard Oyallon,Gal Varoquaux
机构：Soda, Inria Saclay, ISIR, CNRS, Sorbonne University

【53】 PBRE: A Rule Extraction Method from Trained Neural Networks Designed for Smart Home Services
标题： PBRE：一种面向智能家居服务的神经网络规则提取方法
链接：https://arxiv.org/abs/2207.08814
作者：Mingming Qiu,Elie Najm,Remi Sharrock,Bruno Traverson
机构： Télécom Paris, Palaiseau, France, EDF R&D, Palaiseau, France

【54】 Fusion of Physiological and Behavioural Signals on SPD Manifolds with Application to Stress and Pain Detection
标题： SPD流形上生理和行为信号的融合及其在压力和疼痛检测中的应用
链接：https://arxiv.org/abs/2207.08811
作者：Yujin WU,Mohamed Daoudi,Ali Amad,Laurent Sparrow,Fabien D'Hondt
机构：Lille, France , IMT Nord Europe, Institut Mines-Telecom, Centre for Digital Systems, University of Lille, Centrale Lille, CNRS, UMR , CRIStAL, LilNCog, U, INSERM, CNRS, UMR , SCALab, Fabien D’Hondt
备注：International Conference on Systems, Man, and Cybernetics, IEEE SMC 2022, October 9-12, 2022

【55】 A Study of Deep CNN Model with Labeling Noise Based on Granular-ball Computing
标题： 基于粒球计算的带标记噪声的深度CNN模型研究
链接：https://arxiv.org/abs/2207.08810
作者：Dawei Dai,Donggen Li,Zhiguo Zhuang
机构：. Chongqing University of Posts and Telecommunications, Chongqing, China

【56】 Unified 2D and 3D Pre-Training of Molecular Representations
标题： 统一的2D和3D分子表示预训练
链接：https://arxiv.org/abs/2207.08806
作者：Jinhua Zhu,Yingce Xia,Lijun Wu,Shufang Xie,Tao Qin,Wengang Zhou,Houqiang Li,Tie-Yan Liu
机构：University of Science and Technology, of China, Hefei, Anhui, China, Microsoft Research Asia, Beijing, China
备注：KDD-2022

【57】 GAFX: A General Audio Feature eXtractor
标题： GAFX：一种通用的音频特征提取器
链接：https://arxiv.org/abs/2207.09145
作者：Zhaoyang Bu,Hanhaodi Zhang,Xiaohu Zhu
机构：Center for Safe AGI, Ohla AI Group

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